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Scientometrics

, Volume 94, Issue 1, pp 163–179 | Cite as

Measuring international knowledge flows and scholarly impact of scientific research

  • Saeed-Ul HassanEmail author
  • Peter Haddawy
Article

Abstract

We introduce a new quantitative measure of international scholarly impact of countries by using bibliometric techniques based on publication and citation data. We present a case study to illustrate the use of our proposed measure in the subject area Energy during 1996–2009. We also present geographical maps to visualize knowledge flows among countries. Finally, using correlation analysis between publication output and international scholarly impact, we study the explanatory power of the applied measure.

Keywords

Knowledge flows International scholarly impact Bibliometrics 

Notes

Acknowledgments

We are thankful to Prof. Henk Moed and Prof. Yuan Sun who provided their useful comments on early stage of this research.

References

  1. Albert, H., & Adam, J. (2003). Patent citations and international knowledge flow: the cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849–880.CrossRefGoogle Scholar
  2. Alok, J. (2011). China ‘leads the world’ in renewable energy. Guardian. http://www.guardian.co.uk/environment/2008/aug/01/renewableenergy.climatechange. Accessed 03 March 2011.
  3. Bradsher, K. (2010). China leads global race to make clean energy, New York Times. http://www.nytimes.com/2010/01/31/business/energy-environment/31renew.html?_r=1. Accessed 3 March 2011.
  4. Burrell, Q. L. (1991). The Bradford distribution and the Gini index. Scientometrics, 21, 181–194.CrossRefGoogle Scholar
  5. Burrell, Q. L. (1992). The Gini index and the Leimkuhler curve for Bibliometric processes. Information Processing and Management, 28, 19–33.CrossRefGoogle Scholar
  6. Callum, C. (2010). China’s Clean Revolution report. Global Director of Communications .http://www.theclimategroup.org/_assets/files/China-Clean-Revolution-III.pdf. Accessed 3 March 2011.
  7. Guerrero-Bote, V., Zapico-Alonso, F., Espinosa-Calvo, M., Gómez-Crisóstomo, R., & Moya-Anegón, F. (2007). Import-export of knowledge between scientific subject categories: the iceberg hypothesis. Scientometrics, 71(3), 423–441.CrossRefGoogle Scholar
  8. Hagel, J., Brown, J., & Davison, L. (2009). Measuring the forces of long-term change: The 2009 shift index. New York: Deloitte Development LLC.Google Scholar
  9. Ingwersen, P., Larsen, B., & Wormell, I. (2000). Applying diachronic citation analysis to ongoing research program evaluations. In B. Cronin & H. B. Atkins (Eds.), The Web of Knowledge (pp. 373–387). Medford: Information Today, Inc. & American Society for Information Science.Google Scholar
  10. Jones, B. F., Wuchty, S., & Uzzi, B. (2008). Multi-university research teams: shifting impact, geography, and stratification in science. Science, 322, 1259–1262.CrossRefGoogle Scholar
  11. Kinver, M. (2008). “China’s ‘rapid renewables surge’”. BBC News. http://news.bbc.co.uk/2/hi/science/nature/7535839.stm. Accessed 3 March 2011.
  12. Leydesdorff, L., Moya-Anegón, F., & Guerrero-Bote, V. (2010). Journal maps on the basis of Scopus data: a comparison with the Journal Citation Reports of the ISI. Journal of the American Society for Information Science and Technology, 61(2), 352–369.Google Scholar
  13. Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60(2), 348–362.CrossRefGoogle Scholar
  14. Liu, Y., & Rousseau, R. (2010). Knowledge diffusion through publications and citations: a case study using ESI-fields as unit of diffusion. Journal of the American Society for Information Science and Technology, 61(2), 340–351.Google Scholar
  15. Markl, H. (2009). Challenges of Globalization for Science and Research. European Review, 17(3–4), 499–509.CrossRefGoogle Scholar
  16. Nathaniel, T., & Jonathan, E. (2006). Environmental Implications of Energy Policy in China. Environmental Politics, 15(2), 248–270.CrossRefGoogle Scholar
  17. Rowlands, I. (2002). Journal diffusion factor: a new approach to measuring research influence. Aslib Proceedings, 54(2), 77–84.CrossRefGoogle Scholar
  18. Schott, T. (1994). Collaboration in the Invention of Technology: globalization. Regions, and Centers, Social Science Research, 23(1), 23–56.Google Scholar
  19. Stegmann, J., & Grohmann, G. (2001). Citation rates, knowledge export and international visibility of dermatology journals listed and not listed in the Journal Citation Reports. Scientometric, 50(3), 483–502.CrossRefGoogle Scholar
  20. Storper, M. (1999). Globalization and Knowledge Flows. In J. H. Dunning (Ed.), Globalization. Oxford: Regions and the Knowledge-based Economy, Oxford University Press.Google Scholar
  21. Zhou, P., & Leydesdorff, L. (2007). A Comparison between the China Scientific and Technical Papers and Citations Database and the Science Citation Index in terms of journal hierarchies and inter-journal citation relations. Journal of the American Society for Information Science and Technology, 58(2), 223–236.CrossRefGoogle Scholar
  22. Zhou, P., Su, X., & Leydesdorff, L. (2010). A comparative study on communication structures of Chinese journals in the social sciences. Journal of the American Society for Information Science and Technology, 61(7), 1360–1376.CrossRefGoogle Scholar
  23. Zhuge, H. (2006). Discovery of knowledge flow in science. Communications of the ACM, 89(5), 101–107.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2012

Authors and Affiliations

  1. 1.Asian Institute of Technology (AIT)PathumthaniThailand
  2. 2.United Nations University, International Institute for Software Technology (UNU-IIST)MacauChina

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